摘要
为了消除半主动空气悬架系统因非线性、参数时变性及模型的不确定性带来的噪声干扰,研究了半主动空气悬架小波消噪的工作机理,设计了半主动空气悬架的小波消噪神经元自适应控制器,建立了基于小波降噪的半主动空气悬架的动力学模型。在仿真的基础上,进行了台架试验研究,分析了小波降噪的有效性。结果表明,基于小波消噪的神经元自适应控制的半主动空气悬架,改善了车辆质心加速度及俯仰角加速度,提高了整车综合性能。
In order to eliminate the noise interference of the semi-active air suspension system caused by nonlinearity of the system,time-variation of parameters and uncertainty of the model,the working principle of wavelet de-noising of the semi-active air suspension is studied.In addition,the wavelet de-noising neuron adaptive controller of the semi-active air suspension is designed,the dynamic model of the semi-active air suspension is established based on wavelet de-noising,and the effectiveness of wavelet de-noising is analyzed using simulation and bench tests.The result shows that the semi-active air suspension based on wavelet de-noising neuron adaptive controller improves the centroid acceleration and pitching angular acceleration of the vehicle and ameliorates the comprehensive performance of the vehicle.
出处
《振动．测试与诊断》
EI
CSCD
北大核心
2015年第3期568-571,597-598,共4页
Journal of Vibration,Measurement & Diagnosis
基金
国家自然科学基金资助项目(50905078)
江苏省自然科学基金资助项目(BK2012714)
江苏省333工程资助项目
江苏省六大人才高峰和江苏省青蓝工程资助项目
关键词
半主动空气悬架
自适应控制
小波降噪
台架试验
semi-active air suspension
adaptive control
wavelet de-noising
bench test
